The people behind Ontollo

Team

We're a team of builders and operators providing AI systems with the context and knowledge they need to work in the real world.

40+ years combined across product, platform, and operational systems.

Leadership

We've spent decades building new market categories from scratch and leading the teams behind some of the most successful infrastructure and product companies out there like VMware, Atlassian, and Apple.

tiffany-headshot-original-sep2026

Tiffany To

Co-Founder and CEO

Tiffany ran the Enterprise and Platform division at Atlassian, scaling the data and ecosystem layer from $500M to $2.5B in revenue. Led marketing at Nutanix and Cohesity, creating new categories for converged infrastructure.

Noah Wasmer

Noah Wasmer

Co-Founder and President

Noah ran Technical Teams for Jira, Bitbucket, and Opsgenie at Atlassian. Led end-user computing at VMware. iPad product leader on the worldwide launch team at Apple.

Experience

What this team brings

Category-building experience

Experience across enterprise platforms, infrastructure, and product ecosystems.

Built for the physical world

Focused on AI systems for companies that build, run, and grow the world.

Product + operator mindset

A team shaped by execution, systems thinking, and real operational context.

Our offices

Silicon Valley skyline

Silicon Valley

United States

Byron Bay coastline

Byron Bay

Australia

Why Ontollo

A system of reality built for operators.

Prebuilt enough to stand up quickly. Governed enough for mission-critical work. Designed to live with the systems you already have.

01

Interoperate

ERP, GIS, SCADA, CRM, project tools, and the heroic spreadsheet stay in place.

02

Govern meaning

Definitions, provenance, time, and authority stay explicit and inspectable.

03

Keep humans in the loop

AI can reason and propose while the final call stays with the operator when it counts.

04

Stay in control

Your operating context stays independent from any single LLM, data platform, or source system.

See what your systems can’t see yet.

Connect the financial picture at HQ to what is actually happening in the field, and give your AI the operational context it needs to be useful.

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